Improved hybrid MIMO detector for spatial multiplexing operation

Abstract

Amount of data transfer has been increasing extremely high and it demands the use of promising multiple-input multiple-output (MIMO) system that can achieve remarkably high spectral efficiencies. However, due to the rapid growth of users and antennas the system complexity increases, which is the main problem with the several existed detection methods. Further, achieving the quality of performance (QoP) with low power and low energy using re-configurable architectures is the real challenge. To meet this scenario, this paper proposes novel hybrid MIMO detection (BHAI) method to compromise the complexity and the hardware design challenges. The main aim is to design hybrid detection scheme to improve the suitability for hardware implementation without compromising the bit error rate (BER) performance. The proposed method combines conventional linear detection methods (ZF/MMSE) with the Fuzzy K-best detection for quality enhancement. One of these combinations will be chosen using Cognitive Selective Permutation (CSP) theory, which is Adaptive to the SM input parameters, to achieve high QoP parameters. Simulations are done for different antenna configurations (2×2, 4×4) and simulation results confirm that BHAI method consumes less hardware and power without affecting BER performance.